Leveraging Honeypot to Uncover Attack Behaviors on Redis

As cyber threats targeting Redis servers continue to evolve, the need for proactive defense mechanisms becomes increasingly critical. This research explores the application of combining threat categorization and Common Vulnerabilities and Exposures (CVE) mapping to enhance the detection and mitigation of attacks targeting Redis honeypots. Our analysis of attacker interactions reveals distinct attack patterns, offering valuable insights into the specific threats facing Redis servers. The findings demonstrate that integrating honeypots with CVE mapping and threat frameworks significantly improves threat detection capabilities and facilitates the development of targeted mitigation strategies. This approach not only strengthens the security posture of Redis servers but also offers a scalable solution for addressing evolving attack vectors in the broader cybersecurity landscape.